// Copyright (c) 2015 GeometryFactory (France), All rights reserved. // // This file is part of CGAL (www.cgal.org); you can redistribute it and/or // modify it under the terms of the GNU Lesser General Public License as // published by the Free Software Foundation; either version 3 of the License, // or (at your option) any later version. // // Licensees holding a valid commercial license may use this file in // accordance with the commercial license agreement provided with the software. // // This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE // WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. // // $URL$ // $Id$ // // Author(s) : Simon Giraudot #ifndef CGAL_DEFAULT_DIAGONALIZE_TRAITS_H #define CGAL_DEFAULT_DIAGONALIZE_TRAITS_H #ifdef CGAL_EIGEN3_ENABLED #include #else #include #endif namespace CGAL { // Wrapper class designed to automatically use // Eigen_diagonalize_traits if Eigen is available and otherwise use // the fallback Diagonalize_traits class. template class Default_diagonalize_traits{ #ifdef CGAL_EIGEN3_ENABLED typedef Eigen_diagonalize_traits Base; #else typedef Diagonalize_traits Base; #endif public: typedef cpp11::array Vector; typedef cpp11::array Matrix; typedef cpp11::array Covariance_matrix; static bool diagonalize_selfadjoint_covariance_matrix( const Covariance_matrix& cov, Vector& eigenvalues) { return Base::diagonalize_selfadjoint_covariance_matrix (cov, eigenvalues); } static bool diagonalize_selfadjoint_covariance_matrix( const Covariance_matrix& cov, Vector& eigenvalues, Matrix& eigenvectors) { return Base::diagonalize_selfadjoint_covariance_matrix (cov, eigenvalues, eigenvectors); } // Extract the eigenvector associated to the largest eigenvalue static bool extract_largest_eigenvector_of_covariance_matrix ( const Covariance_matrix& cov, Vector& normal) { return Base::extract_largest_eigenvector_of_covariance_matrix (cov, normal); } }; } // namespace CGAL #endif // CGAL_DEFAULT_DIAGONALIZE_TRAITS_H